Tdnn pool #3
Open
Tdnn pool #3
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…ing gmm-latgen-faster The binary complains that there is no such option and exits abnormally, which in turn causes local/test_decoders.sh to fail with a scary error message.
rm/s5: Don't use the no-longer-existing '--max-arcs' option when call…
12 hours is the estimate I got when I ran the recipe:
```
root@27af4331c701:/opt/kaldi/egs/swbd/s5c/data/train_30kshort
$ awk '{s+=$4-$3}END{print s}' segments
43022.7
```
(That's 11.95 hours.)
Fix swbd/s5c recipe comment
… with online decoding (and to enable fix to --snip-edges=false bug).
…o write online feature-extraction code that would respect the snip-edges=false option.
- the stays same functionality, but now it is more 'correct', as we don't do the triple cast with 'bool'.
moving the src/path.sh into tools/config/common_path.sh
Fixing stuff and renaming into am_nnet.
Updated arpa2fst usage message
WIP: fix for utt2dur when applied on speed-pertubed data
…he correct corpra.
…es option; includes rewrite of window extraction code.
… bn-music-speech.
…the HUB4 corpus, update to local/make_bn.py so that it is more flexible with regard to differences in source directory format
…ch-fix BN music speech fixes
smbr: Avoid extra epochs if frame shift is not used during training
…ming more generic, - the binary can be replaced (so we could eventually append posteriors, features, etc.)
A new CUDA kernel for CuMatrixBase<Real>::FindRowMaxId;
base/kaldi_error : the error messages are no longer printed 2x
Add barrier for correct timing. Original performance: LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<float>, for dim = 1024, speed was 4.26727 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<float>, for dim = 1024, speed was 5.97203 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<float>, for dim = 1024, speed was 3.0816 gigaflops. LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<double>, for dim = 1024, speed was 3.95059 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<double>, for dim = 1024, speed was 4.36189 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<double>, for dim = 1024, speed was 2.39275 gigaflops.
LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<float>, for dim = 1024, speed was 14.0498 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<float>, for dim = 1024, speed was 16.845 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<float>, for dim = 1024, speed was 14.2464 gigaflops. LOG (TestCuMatrixTransposeCross():cu-matrix-speed-test.cc:91) For CuMatrix::TransposeCross<double>, for dim = 1024, speed was 10.4523 gigaflops. LOG (TestCuMatrixTransposeS():cu-matrix-speed-test.cc:72) For CuMatrix::TransposeS<double>, for dim = 1024, speed was 9.65529 gigaflops. LOG (TestCuMatrixTransposeNS():cu-matrix-speed-test.cc:56) For CuMatrix::TransposeNS<double>, for dim = 1024, speed was 8.52148 gigaflops.
add new results for Multi-splice version of online recipe of Librispeech, including those on test set.
…size. New: LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float>, for dim = 1024, speed was 10.1076 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float> [transposed], for dim = 1024, speed was 11.8711 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double>, for dim = 1024, speed was 7.10019 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double> [transposed], for dim = 1024, speed was 7.81977 gigaflops. Old: LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float>, for dim = 1024, speed was 4.57783 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<float> [transposed], for dim = 1024, speed was 7.96795 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double>, for dim = 1024, speed was 3.61182 gigaflops. LOG (TestCuMatrixTraceMatMat():cu-matrix-speed-test.cc:458) For CuMatrix::TraceMatMat<double> [transposed], for dim = 1024, speed was 6.39571 gigaflops.
2 CUDA kernels for TraceMatMat with/without transpose for all matrix size.
smbr: Fixed minor bug in generating diagnostics egs
Speed up CuMatrix<Real>::Transpose() and transposed copy from matrix
some cosmetic changes: add comments to RNNLM rescoring utilities to r…
added utils/combine_ali_dirs.sh (fixes kaldi-asr#553).
…ningful error messages.
$ ./configure --mkl-root=/opt/intel/mkl --static-math=yes ... Configuring MKL library directory: Found: /opt/intel/mkl/lib/intel64 MKL configured with threading: sequential, libs: -Wl,--start-group /opt/intel/mkl/lib/intel64/libmkl_intel_lp64.a /opt/intel/mkl/lib/intel64/libmkl_core.a /opt/intel/mkl/lib/intel64/libmkl_sequential.a -Wl,--end-group MKL include directory configured as: /opt/intel/mkl/include Configuring MKL threading as sequential MKL threading libraries configured as -lpthread -lm Using Intel MKL as the linear algebra library. /opt/intel/mkl/lib/intel64/libmkl_core.a(mkl_memory_patched.o): In function `mkl_serv_set_memory_limit': mkl_memory.c:(.text+0x49c): undefined reference to `dlsym' mkl_memory.c:(.text+0x4b2): undefined reference to `dlsym' mkl_memory.c:(.text+0x4c8): undefined reference to `dlsym' /opt/intel/mkl/lib/intel64/libmkl_core.a(mkl_memory_patched.o): In function `mkl_serv_allocate': mkl_memory.c:(.text+0x1251): undefined reference to `dlsym' mkl_memory.c:(.text+0x1267): undefined reference to `dlsym' ...
Add missing dependencies to Makefiles
Add dimension check in online-nnet3 decoding code, so we get more mea…
Fix bug: static link to MKL 11.3.2 failed.
vijayaditya
pushed a commit
that referenced
this pull request
Nov 30, 2016
added the option trainer.deriv-truncate-margin to train_rnn.py and tr…
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.